There are 5 repositories under denoising-images topic.
Bayesian Collaborative Denoiser for Monte Carlo Rendering
Tensorflow implementation of conditional variational auto-encoder for MNIST
Software to generate 2D/3D/4D analytical phantoms and their Radon transforms (parallel beam) for image processing
This project has two parts. In part one, we use markov random field to denoise an image. In Part two, we use similar model for image segmentation.
Benchmarking Denoising Algorithms with Real Photographs
Matlab Code for "A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising, ECCV 2018".
It is a Java implementation of underwater images and videos enhancement by fusion
A Conditional Generative Adverserial Network (cGAN) was adapted for the task of source de-noising of noisy voice auditory images. The base architecture is adapted from Pix2Pix.
A deep learning approach for stripe noise removal
Denoising images with a Deep Convolutional Autoencoder - Implemented in Keras
Compressed sensing and denoising of images using sparse representations
These are a set of scripts to train a deep learning based SAR image despeckling method.
(MICCAI 2022) PyTorch implementation of Denoising of 3D MR images using a voxel-wise hybrid residual MLP-CNN model to improve small lesion diagnostic confidence.
A tool for de-noising raster digital elevation models
Reproduction of the experiments presented in Kernel PCA and De-noising in Feature Spaces, as a project in DD2434 Machine Learning Advance Course during Winter 2016
Covariance Estimation and Denoising for Cryo-EM Images (Covariance Wiener Filtering)
We derive a fundamental property of the posterior distribution in Gaussian denoising, and use it to propose a new way for uncertainty visualization, which requires no training or fine-tuning.
Non local means filter for ImageJ
Denoising medical images using AutoEncoders
PyTorch Implementation for Paper "Toward Multimodal Image-to-Image Translation"
An Image Reconstructor that applies fast proximal gradient method (FISTA) to the wavelet transform of an image using L1 and Total Variation (TV) regularizations
Neural Ocean is a project that addresses the issue of growing underwater waste in oceans and seas. It offers three solutions: YoloV8 Algorithm-based underwater waste detection, a rule-based classifier for aquatic life habitat assessment, and a Machine Learning model for water classification as fit for drinking or irrigation or not fit.
An efficient CUDA implementation of Adaptive Non Local Means algorithm for image denoising.
EPLL implementation using pytorch
[ICMLA 2016]: Code for the paper "Denoising high resolution images using deep learning approach"
Implementation of fundamental image processing algorithms using MATLAB
Official code of "Direct Unsupervised Super-Resolution using Generative Adversarial Network (DUS-GAN) for Real-World Data" published in an IEEE Transaction in Image Processing (TIP).
Group project for master class "Context Aware Security Analysis for Computer Vision"